Standards-based (Ethernet) networking for AI/ML training, leveraging low latency and high-throughput RoCEv2. Reduces Job Completion Time (JCT) using the cognitive routing and congestion management capabilities of the switch. A next-generation, highest-capacity switch for data center spine use case. 6 Terabits per second (typically achieved via eight 200G SerDes. An LPO (Linear Pluggable Optics) solution offers considerable power savings for optical interconnect by removing the digital signal processing (DSP) function from the pluggable optical module. This architecture takes advantage of the capabilities in each segment of the link to form a power, cost. The transmitter uses a high-linearity driver chip to directly drive the optical modulator, converting the electrical signal into an optical signal. Signal equalization and compensation. In AI training clusters, thousands or even tens of thousands of GPUs perform All-Reduce operations, generating massive “east-west” traffic. This traffic exhibits high burstiness, extremely high bandwidth demands, and extreme sensitivity to latency. Network bandwidth is moving quickly from 400G to 800G and toward 1.
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